GEV vs TSM: Correlation
GE Vernova (GEV) and Taiwan Semiconductor Manufacturing Company Ltd. (TSM) show a moderate relationship: their 3-year correlation of weekly returns is 0.53.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GEV and TSM?
On 3 years of weekly data the GEV/TSM correlation comes out at 0.53, moderate. The relationship has been stable: the 1-year correlation (0.54) sits close to the 3-year figure. The 5-year figure is n/a, and annualized covariance runs at 841.1 %².
By 3-year correlation, TSM places #14 of the 33 assets tracked against GEV. The last year tells two different stories: TSM led by 26.9 percentage points, +53.6% for GEV against +80.5% for TSM.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
GEV vs TSM: side by side
| GEV (GE Vernova) | TSM (Taiwan Semiconductor Manufacturing Company Ltd.) | |
|---|---|---|
| 1-year return | +53.6% | +80.5% |
| 5-year return | n/a | +289.6% |
| Volatility (ann.) | 45.8% | 34.9% |
| Beta vs S&P 500 | 1.42 | 1.59 |
| Max drawdown (3Y) | -38.3% | -36.8% |
| Market cap | $254.0B | $2,216.2B |
| P/E (trailing) | 27.3 | 31.1 |
| Dividend yield | 0.18% | 6.22% |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | GEV | TSM |
|---|---|---|
| 2022 | – | -36.7% |
| 2023 | – | +42.3% |
| 2024 | – | +92.6% |
| 2025 | +99.0% | +55.9% |
| 2026 | +46.2% | +41.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GEV and TSM good diversifiers for each other?
Somewhat, no more. With 0.53 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between GEV and TSM?
Using weekly returns as of 2026-08-27: 0.53 over 3 years, with 0.54 over the last year and n/a over 5 years.
Is TSM a good diversifier for GEV?
Somewhat, no more. With 0.53 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.53 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/gev-vs-tsm.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gev-vs-tsm/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: GEV correlations · TSM correlations
